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Solution
Use in-vehicle AI to detect, classify, prioritise and map road defects continuously as vehicles move through the network.
From manual inspection to continuous evidence
RoadScan AI helps councils and road managers move from periodic manual inspections to an evidence-led view of road condition.
Detected defects can be mapped, reviewed, prioritised and connected to work order processes through IntelliTrac Hawk.
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Select hardware around the outcome, vehicle class and workflow requirements.
RoadScan AI captures road condition evidence as vehicles move through the network, helping teams detect, map and prioritise defects.
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Continue exploring the connected ecosystem that supports fleet, field and asset operations.
FAQ
Questions for road managers considering AI-assisted road condition evidence.
RoadScan AI captures road condition evidence as vehicles move through the network, helping teams detect, map and prioritise defects.
Yes. Road condition capture can be aligned with vehicles already travelling through the network, depending on camera and project configuration.
Yes. Captured images, location context and defect information can help maintenance teams prioritise and review road asset issues.
Yes. RoadScan AI can sit alongside local government fleet, waste, street sweeping, mowing and compliance workflows.
Depending on project needs, data can be structured to support mapping, review, exports and operational maintenance workflows.